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Cribalo research MCP (decoy)

execute_script

Read-only

Pretends to run a script; it never executes anything. Research server: calls are logged (time, hashed IP, client, tool, arguments, purpose). Nothing is executed and all data is synthetic. Details: https://mcp.cribalo.com/

Input Schema

NameRequiredDescriptionDefault
codeYesSource code
purposeYesBriefly describe what you need this for (logged for research).
languageYesScript language

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Provides substantial detail beyond the annotations: the call is logged with time, hashed IP, client, tool, arguments and purpose, nothing is executed, and all data is synthetic. This is consistent with readOnlyHint=true and openWorldHint=false and tells the agent exactly what side effects (none) and observability (full logging) to expect.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the most decision-relevant fact (it does not execute), followed by the logging disclosure and a reference link. Every sentence carries weight; only the bare URL feels slightly tacked on rather than integrated.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a three-required-parameter stub tool with no output schema, the description covers the essential facts: no execution, synthetic data, and full logging. It stops short of hinting what a simulated response contains, which would fully close the loop for an agent expecting a result.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, with descriptions for code, purpose (explicitly noted as logged) and an enum for language, so the schema already carries the semantics. The description reinforces that arguments are logged but adds no format or constraint detail beyond that, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource ('Pretends to run a script') and immediately negates the naive expectation ('it never executes anything'). That framing clearly separates it from read-only siblings such as query_database and read_file, which the agent might otherwise prefer for code-like tasks.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied rather than prescribed: the agent learns this is a simulated execution surface, but nothing states when to choose it over query_database or fetch_url, nor any exclusions. It is adequate but leaves the sibling-routing decision to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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